Where to Find GPT-Image2 Case Examples in the Awesome GPT-Image2 Repository

All 544 GPT-Image2 case examples are stored across the repository’s docs/ and data/ directories, with human-readable documentation in Markdown files and machine-readable metadata in data/style-library.json.

The freestylefly/awesome-gpt-image-2 repository organizes hundreds of GPT-Image2 case examples into a structured gallery system. Whether you are browsing for design inspiration or building an application that consumes these examples programmatically, understanding the file layout is essential for locating specific cases, prompts, and preview images efficiently.

Master Index of All Cases

The entry point for exploring the collection is docs/gallery.md, which serves as a high-level overview and index of all 544 cases. This file provides a complete list with links to each case’s dedicated Markdown page, allowing you to navigate the entire library without manually searching through folders.

Detailed Case Descriptions

For in-depth information, the repository splits detailed case data across two Markdown files to manage file size:

Each case is marked with an anchor tag (e.g., #case-001) enabling direct linking to specific examples within these documents.

Image Assets Storage

The actual PNG and JPG files backing every case are stored in data/images/. Files follow the naming convention caseXXX.jpg (where XXX is the zero-padded case ID), ensuring predictable paths for both manual inspection and programmatic rendering.

Accessing Case Metadata Programmatically

The Style Library JSON Structure

For machine consumption, data/style-library.json acts as the central catalogue. This file maps each case to its style keywords, tags, and category, making it ideal for filtering, search implementations, or automated tooling without parsing Markdown. The front-end UI relies on this JSON as the single source of truth for case metadata.

Loading Cases in the Web Interface

As implemented in src/main.jsx, the React application imports the style library directly and dynamically routes users to the correct gallery part based on case ID:

import styleLibrary from '../data/style-library.json';

function CasesGrid() {
  return (
    <div className="caseGrid">
      {styleLibrary.cases.map(caseItem => (
        <a
          key={caseItem.id}
          href={`./docs/gallery-part-${caseItem.id > 165 ? '2' : '1'}.md#case-${caseItem.id}`}
          className="caseCard"
        >
          <img src={`/data/images/case${caseItem.id}.jpg`} alt={caseItem.title} />
          <h3>{caseItem.title}</h3>
        </a>
      ))}
    </div>
  );
}

This pattern demonstrates how the repository distinguishes between Part 1 and Part 2 by checking if caseItem.id > 165, ensuring links resolve to the correct Markdown file.

Fetching Case Data with Custom Scripts

To retrieve a specific case’s full details—including both the structured metadata and the Markdown description—use a script that fetches the raw content from the repository:

import fetch from 'node-fetch';
import path from 'path';
import fs from 'fs';

async function getCase(caseId) {
  // Load the style-library JSON (contains metadata for every case)
  const lib = JSON.parse(fs.readFileSync(path.resolve('data/style-library.json'), 'utf-8'));
  const meta = lib.cases.find(c => c.id === caseId);
  if (!meta) throw new Error('Case not found');

  // Build the URL to the Markdown description (part 1 or part 2)
  const part = caseId > 165 ? '2' : '1';
  const mdUrl = `https://raw.githubusercontent.com/freestylefly/awesome-gpt-image-2/main/docs/gallery-part-${part}.md`;

  const md = await fetch(mdUrl).then(r => r.text());
  const caseSection = md.split(`## 案例 ${caseId}`)[1]?.split('---')[0] ?? '';

  return { meta, description: caseSection.trim() };
}

This approach splits the Markdown content on the case header (e.g., ## 案例 001) to extract the relevant section without parsing the entire file client-side.

Displaying Case Images in Applications

When building custom interfaces that reference these examples, construct image paths using the predictable filename pattern found in data/images/:

import React from 'react';

export default function CaseImage({ id, alt }) {
  const src = `/data/images/case${id}.jpg`;
  return <img src={src} alt={alt || `GPT-Image2 case ${id}`} loading="lazy" />;
}

This component generates the correct relative path to the image assets stored in the repository, supporting lazy loading for performance when rendering large grids of GPT-Image2 case examples.

Summary

  • 544 total cases are indexed in docs/gallery.md with links to detailed descriptions.
  • Detailed documentation is split between docs/gallery-part-1.md (cases 1-165) and docs/gallery-part-2.md (cases 166-544).
  • Image assets reside in data/images/ using the caseXXX.jpg naming convention.
  • Machine-readable metadata is available in data/style-library.json for programmatic access.
  • Front-end implementation in src/main.jsx demonstrates dynamic routing between gallery parts based on case ID thresholds.

Frequently Asked Questions

How many GPT-Image2 case examples are available in the repository?

The repository contains 544 case examples covering various GPT-Image2 styles and prompts. These are enumerated in the master index at docs/gallery.md and distributed across the two detailed gallery Markdown files.

docs/gallery-part-1.md houses detailed descriptions for cases 1 through 165, while docs/gallery-part-2.md contains cases 166 through 544. The split ensures file sizes remain manageable for editing and version control, with the logic in src/main.jsx routing requests to the appropriate file based on the case ID value.

How are the case image files organized in the data/images folder?

Each case has a corresponding JPG file named caseXXX.jpg, where XXX represents the zero-padded case ID (e.g., case001.jpg, case165.jpg). This predictable naming scheme allows both the React UI and custom scripts to generate direct paths to thumbnails without maintaining a separate image manifest.

Can I access case metadata without parsing the Markdown documentation?

Yes. The data/style-library.json file provides structured metadata—including case IDs, titles, style keywords, and categories—in JSON format. This eliminates the need to parse Markdown for basic information and enables efficient filtering and search operations in third-party applications.

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